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Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention
BACKGROUND: A novel coronavirus disease (COVID-19) has caused huge damage to public health around the world. Revealing the transmission dynamics of COVID-19 and control efficiency is important for containing the spread of the virus. METHODS: By using a logistic growth model, we estimated the transmi...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379572/ https://www.ncbi.nlm.nih.gov/pubmed/34418983 http://dx.doi.org/10.1186/s12879-021-06560-3 |
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author | Cheng, Chaoyuan Wan, Xinru Zhang, Zhibin |
author_facet | Cheng, Chaoyuan Wan, Xinru Zhang, Zhibin |
author_sort | Cheng, Chaoyuan |
collection | PubMed |
description | BACKGROUND: A novel coronavirus disease (COVID-19) has caused huge damage to public health around the world. Revealing the transmission dynamics of COVID-19 and control efficiency is important for containing the spread of the virus. METHODS: By using a logistic growth model, we estimated the transmission parameters of COVID-19 in China and six other countries (Republic of Korea, Iran, Italy, Spain, France and Germany). The transmission parameters represent the maximum daily increase rate in the early stages of the epidemic and the control efficiency under human intervention. The control efficiency was determined by the significant decrease of the daily increase rate in time and cumulative cases. RESULTS: We found the daily increase rate of cumulative cases of COVID-19 decreased significantly in both time and cumulative cases in all countries, but the decreasing trend was not further reduced in other countries except for China and Republic of Korea. The response of the daily increase rate to control measures was much earlier than the number of new cases. CONCLUSIONS: Our results suggested that lockdown at the epicenter and social distancing effectively reduced the spread of COVID-19 in the early stage, but identification and isolation of patients, suspected cases and people with close contact at a community level is essential in further reduction of the daily increase rate of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06560-3. |
format | Online Article Text |
id | pubmed-8379572 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-83795722021-08-23 Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention Cheng, Chaoyuan Wan, Xinru Zhang, Zhibin BMC Infect Dis Research Article BACKGROUND: A novel coronavirus disease (COVID-19) has caused huge damage to public health around the world. Revealing the transmission dynamics of COVID-19 and control efficiency is important for containing the spread of the virus. METHODS: By using a logistic growth model, we estimated the transmission parameters of COVID-19 in China and six other countries (Republic of Korea, Iran, Italy, Spain, France and Germany). The transmission parameters represent the maximum daily increase rate in the early stages of the epidemic and the control efficiency under human intervention. The control efficiency was determined by the significant decrease of the daily increase rate in time and cumulative cases. RESULTS: We found the daily increase rate of cumulative cases of COVID-19 decreased significantly in both time and cumulative cases in all countries, but the decreasing trend was not further reduced in other countries except for China and Republic of Korea. The response of the daily increase rate to control measures was much earlier than the number of new cases. CONCLUSIONS: Our results suggested that lockdown at the epicenter and social distancing effectively reduced the spread of COVID-19 in the early stage, but identification and isolation of patients, suspected cases and people with close contact at a community level is essential in further reduction of the daily increase rate of COVID-19. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12879-021-06560-3. BioMed Central 2021-08-21 /pmc/articles/PMC8379572/ /pubmed/34418983 http://dx.doi.org/10.1186/s12879-021-06560-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Cheng, Chaoyuan Wan, Xinru Zhang, Zhibin Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title | Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title_full | Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title_fullStr | Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title_full_unstemmed | Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title_short | Modeling analysis reveals the transmission trend of COVID-19 and control efficiency of human intervention |
title_sort | modeling analysis reveals the transmission trend of covid-19 and control efficiency of human intervention |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8379572/ https://www.ncbi.nlm.nih.gov/pubmed/34418983 http://dx.doi.org/10.1186/s12879-021-06560-3 |
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